Results 21 to 30 of about 15,313,538 (164)

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns

IEEE Access, 2018
High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger   +3 more
doaj   +1 more source

An Efficient Approach for Mining Reliable High Utility Patterns

IEEE Access, 2022
Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib   +4 more
doaj   +1 more source

LUIM: New Low-Utility Itemset Mining Framework

IEEE Access, 2019
High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini, Saleem Karmoshi, Ammar Hawbani, Li Jing, Abdullah Alhusaini, Yaser Al-sharabi   +5 more
doaj   +1 more source

Mining Correlated High Utility Itemsets in One Phase

IEEE Access, 2020
High-utility itemset mining (HUIM) in transaction databases has been extensively studied to discover interesting itemsets from users' purchase behaviors. With this, business managers can adjust their sale strategies appropriately to increase profit. HUIM
Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong   +8 more
doaj   +1 more source

Mining Association rules for Low-Frequency itemsets. [PDF]

PLoS ONE, 2018
High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu, Justin Zhan, Sanket Chobe   +2 more
doaj   +1 more source

A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop

Complex System Modeling and Simulation, 2023
High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big ...
Zaihe Cheng, Wei Shen, Wei Fang, Jerry Chun-Wei Lin   +3 more
doaj   +1 more source

Actionable high-coherent-utility fuzzy itemset mining

, 2016
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from quantitative transaction databases.
Chen, C. H.;Li, A. F.;Lee, Y. C., Chen, Chun-hao   +1 more
core   +1 more source

High utility-itemset mining and privacy-preserving utility mining [PDF]

, 2016
SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs).
Liu, Qiankun, Frnda, Jaroslav, Yang, Lu, Sevcik, Lukas, Voznak, Miroslav, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Gan, Wensheng   +7 more
core   +1 more source

High Average-Utility Itemset Sampling Under Length Constraints

, 2022
International audienceHigh Utility Itemset extraction algorithms are methods for discovering knowledge in a database where the items are weighted. Their usefulness has been widely demonstrated in many real world applications.
Diop, Lamine
core   +1 more source

Generic Itemset Mining Based on Reinforcement Learning

IEEE Access, 2022
One of the biggest problems in itemset mining is the requirement of developing a data structure or algorithm, every time a user wants to extract a different type of itemsets.
Kazuma Fujioka, Kimiaki Shirahama
doaj   +1 more source